Triple

T25656274
Position Surface form Disambiguated ID Type / Status
Subject International Year of Languages E643245 entity
Predicate isPartOf P10 FINISHED
Object United Nations initiatives
United Nations initiatives are global programs and campaigns launched by the UN to address international issues such as peace, development, human rights, the environment, and cultural diversity.
E1691064 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United Nations initiatives | Statement: [International Year of Languages, isPartOf, United Nations initiatives]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United Nations initiatives
Triple: [International Year of Languages, isPartOf, United Nations initiatives]
Generated description
United Nations initiatives are global programs and campaigns launched by the UN to address international issues such as peace, development, human rights, the environment, and cultural diversity.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e77e7d8a848190a98d0162325fd780 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5faebdbf08190ab8856d10be8abd1 completed May 2, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c14bde4c8190b8a867c64edf8afd completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c22b19a48190b04130bdb7763f0a completed May 22, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a10c2de07648190858ba8901748aa53 completed May 22, 2026, 8:55 p.m.
Created at: April 21, 2026, 6:33 p.m.